Abstract We present Stable Video 3D (SV3D)—a latent video diffusion model for high-
resolution, image-to-multi-view generation of orbital videos around a 3D object. Recent …

Feed-forward 3D generative models like the Large Reconstruction Model (LRM)[18] have
demonstrated exceptional generation speed. However, the transformer-based methods do …

This paper presents a novel method for building scalable 3D generative models utilizing pre-
trained video diffusion models. The primary obstacle in developing foundation 3D …

Scalable annotation approaches are crucial for constructing extensive 3D-text datasets,
facilitating a broader range of applications. However, existing methods sometimes lead to …

By leveraging the text-to-image diffusion prior, score distillation can synthesize 3D contents
without paired text-3D training data. Instead of spending hours of online optimization per text …

Abstract 3D generation has witnessed significant advancements, yet efficiently producing
high-quality 3D assets from a single image remains challenging. In this paper, we present a …

Graphics pipelines require physically-based rendering (PBR) materials, yet current 3D
content generation approaches are built on RGB models. We propose to model the PBR …

3D content generation from text prompts or single images has made remarkable progress in
quality and speed recently. One of its dominant paradigms involves generating consistent …

3D modeling has long been an important area in computer vision and computer graphics.
Recently, thanks to the breakthroughs in neural representations and generative models, we …